
GenAI Lead
Orion Innovation17 days ago
India (city not specified)Staff+
Responsibilities
- Lead the end-to-end design and implementation of Generative AI solutions and provide technical guidance to engineers and data scientists.
- Architect, train, fine-tune, optimize, and deploy LLMs and generative AI models, including ChatGPT-based solutions.
- Develop prompt-engineering, retrieval-augmented generation, domain-specific fine-tuning, and agentic AI pipelines.
- Build and deliver APIs for GenAI services and integrate them with enterprise applications and services.
- Deploy and manage AI models and APIs on Azure, AWS, or GCP while supporting scalability, performance, security, monitoring, retraining, and continuous improvement.
- Collaborate with data engineering teams on data acquisition, preprocessing, augmentation, governance, and privacy.
- Research and evaluate multimodal AI, RLHF, active learning, AI frameworks, libraries, and platforms.
- Work with product managers, business stakeholders, and UX designers to define AI-powered features and communicate technical concepts to non-technical audiences.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; a Ph.D. is preferred.
- At least 8 years of AI/ML engineering experience, including at least 2 years specifically in Generative AI.
- At least 2 years of experience building conversational AI applications with cloud-based services and orchestrating AI/ML services into complete solutions.
- At least 6 years of extensive full-time experience in data analysis, statistics, machine learning, or computer science.
- Hands-on experience with Azure AI Services, Azure Machine Learning, AWS Bedrock, Google Vertex AI, or comparable cloud AI/ML services.
- Experience with LLMs such as ChatGPT, Gemini, Llama 2, Claude 2, or Grok and agentic frameworks such as LangChain, Semantic Kernel, AutoGen, or CrewAI.
- Experience with vector databases such as Chroma, Pinecone, Weaviate, or Faiss, plus multimodal AI, Tree-of-Thoughts, RAG, or RLHF.
- Strong expertise in LLMs, generative AI frameworks, NLP concepts, tokenization, embeddings, and sequence-to-sequence models.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience managing CI/CD pipelines and automation in Azure DevOps, with knowledge of Docker, orchestration, and MLOps tools such as MLflow or Kubeflow.
- Proven ability to lead AI projects from inception through production.
- AI/ML or cloud certifications, such as Azure AI Engineer or AWS Certified Machine Learning, are preferred.
Tech Stack
Categories
About Orion Innovation
Orion Innovation provides software engineering and consulting services focused on digital transformation, product development, data and AI, cloud, and digital experience for enterprise clients. It delivers projects across industries including financial services, telecommunications and media, consumer products, automotive, industrial automation, sports and entertainment, life sciences, ecommerce, and education. Headquartered in Iselin, New Jersey, the company is privately held and backed by One Equity Partners.